Spatially varying regularization of deconvolution in 3D microscopy
Author:
Affiliation:
1. Department of Biomedical Engineering; Yonsei University; Wonju Korea
2. School of Electronic and Electrical Engineering; Sungkyunkwan University; Suwon Korea
3. Department of Biomedical Engineering; Hanyang University; Seoul Korea
Funder
National Research Foundation of Korea
Publisher
Wiley
Subject
Histology,Pathology and Forensic Medicine
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/jmi.12141/fullpdf
Reference17 articles.
1. Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation;Bardsley;Inverse Probl,2009
2. Multiphoton fluorescent images with a spatially varying background signal: a ML deconvolution method;Crivaro;J. Microsc.,2011
3. 3D microscopy deconvolution using Richardson-Lucy algorithm with total variation regularization;Dey;Microsc. Res. Tech.,2006
4. EPFL web resource 2013 3D deconvolution in Microscopy http://bigwww.epfl.ch/deconvolution
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1. Regularized iterative Weiner filter method for blind image deconvolution;Journal of Computational and Applied Mathematics;2018-07
2. Image Restoration Using Gradient Iteration and Constraints for Band Extrapolation;IEEE Journal of Selected Topics in Signal Processing;2016-02
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